Triple

T11079404
Position Surface form Disambiguated ID Type / Status
Subject Giani Zail Singh E261949 entity
Predicate name P16 FINISHED
Object Giani Zail Singh E261949 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Giani Zail Singh | Statement: [Giani Zail Singh, name, Giani Zail Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giani Zail Singh
Context triple: [Giani Zail Singh, name, Giani Zail Singh]
  • A. Giani Zail Singh chosen
    Giani Zail Singh was an Indian politician who served as the seventh President of India and was previously the country's Home Minister and Chief Minister of Punjab.
  • B. Manmohan Singh
    Manmohan Singh is an Indian economist and politician who served as the 13th Prime Minister of India from 2004 to 2014.
  • C. Chandra Shekhar
    Chandra Shekhar was an Indian politician who briefly served as the 8th Prime Minister of India from 1990 to 1991.
  • D. Shankar Dayal Sharma
    Shankar Dayal Sharma was an Indian politician who served as the ninth President of India from 1992 to 1997.
  • E. Chaudhary Charan Singh
    Chaudhary Charan Singh was an Indian politician who served as the 5th Prime Minister of India and was known for his advocacy of farmers’ rights and agrarian reforms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999603948190934bca3a9151d726 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441b1b4dc8190a572d4d6269540cd completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.